Job Overview
Location
Redwood City
Job Type
Full-time
Category
Software Engineering
Date Posted
June 4, 2026
Full Job Description
đź“‹ Description
- • Build and ship product-native AI agents by prototyping directly in agent-building tools alongside engineering teams, not just writing specifications.
- • Lead end-to-end development of AI-powered products from discovery and definition through prototyping, delivery, and iteration, with ownership of the full product lifecycle.
- • Design and refine agentic system behavior, evaluate AI outputs, and iterate on AI agents that are shipped to customers as core product features.
- • Use AI tools daily across your workflow — including research, spec-writing, prototyping, evaluation, and data analysis — and demonstrate genuine enthusiasm for an AI-first product environment.
- • Own and manage at least three distinct product workstreams concurrently, each with defined milestones, dependencies, and delivery timelines.
- • Build and maintain prioritized product roadmaps that balance immediate customer needs with long-term platform scalability and technical debt reduction.
- • Drive cross-functional sprint planning and execution across engineering, data science, power systems experts, and operations teams.
- • Define and track success metrics and OKRs; synthesize product performance data and user feedback to inform iterative improvements.
- • Harden internal-grade AI tools into production-quality products by improving UX, reliability, scalability, and security for external customers.
- • Engage directly with external partners including utilities, hyperscalers, data center developers, and government/public-sector bodies to gather requirements, track milestones, and present product updates.
- • Translate technical inputs from power systems engineers into clear, actionable product requirements and engineering briefs.
- • Collaborate with sales, marketing, operations, and strategy teams to align product direction with go-to-market strategy and customer acquisition goals.
- • Operate with high autonomy in a fast-moving startup environment — setting direction, unblocking progress, and making decisions amid ambiguity without constant oversight.
- • Author PRDs, lead product launches, and manage post-launch iteration based on real-world usage and partner feedback.
- • Work hybrid: 3 days per week in the Redwood City, CA office for collaboration; 2 days remote for focused work.
- • Participate in high-visibility projects that shape the future of AI infrastructure and the energy transition.
🎯 Requirements
- • Hands-on experience building AI agents — personally wiring tools and models together, writing code, or iterating working prototypes, not just using them.
- • Proven track record of shipping AI-powered software from prototype to production as a hands-on builder.
- • Fluency in daily use of AI tools across research, prototyping, analysis, and documentation workflows.
- • Experience managing at least three concurrent product workstreams with clear milestones and delivery timelines.
- • Excellent communication skills with ability to engage credibly with engineers, leadership, and external partners including utilities and hyperscalers.
- • 5+ years of product management experience including roadmapping, prioritization, and requirements ownership.
🏖️ Benefits
- • Competitive salary, performance bonus, and equity.
- • Comprehensive health, dental, and vision coverage.
- • Lunch provided when working in the Redwood City office.
- • Hybrid work schedule: 3 days in office, 2 days remote.
- • Access to leading academic, industry, and government partners in the AI-energy ecosystem.
- • Mission-driven culture focused on enabling the energy foundation for the age of AI.
Skills & Technologies
About Gridcare
Gridcare provides cloud-based solutions for utility companies, focusing on grid modernization and operational efficiency. Their platform integrates data from various sources, enabling utilities to monitor, analyze, and manage their infrastructure more effectively. Key features include real-time asset monitoring, predictive maintenance, outage management, and grid analytics. By leveraging advanced technologies like AI and IoT, Gridcare helps utilities improve reliability, reduce operational costs, and enhance customer service. Their solutions are designed to support the transition to a smarter, more resilient energy grid, addressing the evolving challenges faced by the energy sector.
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